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my-finetuned-xml-roberta2 – AI Model by knurm | AlphaNeural AI
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knurm
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my-finetuned-xml-roberta2
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transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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my-finetuned-xml-roberta2
This model is a fine-tuned version of
knurm/my-finetuned-xml-roberta
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.4644
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
3.4491
1.0
5652
3.3339
3.171
2.0
11304
3.2681
2.9518
3.0
16956
3.3003
2.7305
4.0
22608
3.3447
2.5974
5.0
28260
3.4644
Framework versions
Transformers 4.19.1
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1
